Techsee Augmented Vision

Visual Based Technical Customer Support on Mobile

Augmented Reality (AR), Customer Support, Enterprise
Artificial Intelligence Computer Vision Deep Learning

Business Overview

TechSee is an augmented, visual support solution that redefines technical support over the phone, bridging the visual barrier between customer service representatives in call centers and their customers, to quickly resolve issues and avoid technician dispatches. Leveraging existing smartphone capabilities, TechSee’s patent-pending technology harnesses machine vision, augmented reality, and a visual knowledge base to let remote support agents see and explore the customer’s physical environment, helping them through the diagnosis and resolution procedure.

Operating Status
Active
Founded
January 2015
Employees
63
Business model
B2B, B2B2C
Offering type
Software
Funding stage
Series C
Total funding
$53.5 Million
Sectors
Augmented Reality (AR), Customer Support, Enterprise

Founders

Techsee Augmented Vision
Gabby Sarusi
Chief Scientist
AI Expert
Techsee Augmented Vision
Eitan Cohen
CEO
Serial Entrepreneur
Techsee Augmented Vision
Amir Yoffe
COO

Funding Rounds

Calculated as the average ratio between the current funding round amount raised and the previous funding round amount raised. Note that 'plus' rounds are summed together. i.e. Series A = Series A and Series A+.
Funding Growth Multiple
2.0x

New wpDataTable

Date Announced

Funding Round

Amount Raised

Investors

AI Technology Stack

AI Description

Our patented technology combines proprietary Deep Learning and advanced Computer Vision AI methods, to recognize devices and their parts and associate them with common issues and resolutions. We combine proprietary Deep Learning and Computer Vision algorithms to achieve maximal robustness, speed and accuracy.

Data is collected through crowdsourcing of expertise, from synthetic image generation or other any visual data sets.

Our models are created and trained to analyze electronic products, based on your data, to allow the recognition of specific device models and issues to the highest level of accuracy.

We provide a customer-facing virtual assistant solution which can interact with users using voice and text commands and provide real-time feedback.

AI employees
7
AI types
Artificial Intelligence, Computer Vision, Deep Learning, Natural Language Processing

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